We present the object-oriented multi-tier application framework OMS Java which is independent of the underlying database management system (DBMS). We detail the storage management component and sketch which part of the framework has to be extended when introducing a new DBMS. We compare versions of OMS Java using the persistent storage engine ObjectStore PSE Pro for Java, the object-oriented DB...

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Stereo matching is one of the most active research areas in computer vision. While a large number of algorithms for stereo correspondence have been developed, research in some branches of the field has been constrained due to the few number of stereo datasets with ground truth disparity maps available. Having available a large dataset of stereo images with ground truth disparity maps would boos...

This project tries to apply deep learning tools to enable computer answering question by looking at images. In this project, the visual question answering dataset[1] is introduced. This dataset consists of 204,721 real images, 614,164 question and 50,000 abstract scenes, 150,000 questions. Various methods are reproduced. The analysis on different models are presented.

Computer vision has been introduced to estimate calories from food images. But current food image datasets dont contain volume and mass records of foods, which leads to an incomplete calorie estimation. In this paper, we present a novel food image dataset with volume and mass records of foods, and a deep learning method for food detection, to make a complete calorie estimation. Our dataset incl...

This paper presents a database of " ground truth " segmentations produced by humans for images of a wide variety of natural scenes. We define an error measure which quantifies the consistency between segmentations of differing granularities and find that different human segmentations of the same image are highly consistent. One of many uses of this dataset is demonstrated in evaluating the perf...